Making sense of indoor spaces using semantic web mining and situated robot perception
Intelligent Autonomous Robots deployed in human environments must have understanding of the wide range of possible semantic identities associated with the spaces they inhabit – kitchens, living rooms, bathrooms, offices, garages, etc. We believe robots should learn this information through their own...
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| 格式: | Conference item |
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Springer Verlag
2017
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